Development and validation of a machine learning model for frailty screening using claims data in Japan: the Longevity Improvement & Fair Evidence Study
This claims-based frailty prediction model showed reasonable performance and prognostic value. It may support efficient, population-level frailty screenings where questionnaire-based assessments are impractical.
Authors
- Kengo Kawaguchi (ORCID: https://orcid.org/0000-0001-9096-6957)
- M. Maeda
- Futoshi Oda
- Haruhisa Fukuda (ORCID: https://orcid.org/0000-0003-1120-1548)
- Yasuharu Nakashima
Institutions
- Kyushu University (JP)
Publication Details
- Journal
- Experimental Gerontology
- Published
- 2026-01-26
- DOI
- https://doi.org/10.1016/j.exger.2026.113050
- Primary Topic
- Frailty in Older Adults
- Type
- article
- Field-Weighted Citation Impact
- 0.00